Jobs

We are looking for an Integration Tech Lead to take full ownership of one of the most business-critical areas of our platform — integrations. This role sits at the intersection of backend engineering, data flows, and external platform connectivity.

You will be responsible not only for building and scaling integrations, but also for ensuring their reliability, stability, and overall performance. This is a high-impact role where failures directly affect business outcomes, so we are looking for someone who can take end-to-end responsibility and confidently drive technical decisions.

In this role, you will lead a small team, bring structure to an evolving domain, and define how integrations are designed, built, and maintained across the platform.

Requirements

• 5+ years of experience in backend, platform, or data engineering.
• Experience in backend development using at least one programming language (such as Python, PHP, C#, or similar), with a willingness to work in a multi-stack environment.
• Strong experience working with APIs and integrations (design, implementation, maintenance).
• Experience working with marketing or advertising platforms (Meta, LinkedIn, programmatic ecosystem).
• Proven experience working with complex technical systems and driving them to a stable state.
• Experience leading or mentoring engineers.
• Solid understanding of distributed systems and data flows.
• Experience working with production systems where reliability and uptime are critical.
• Strong engineering mindset: ability to make decisions, prioritize, and take responsibility.
• Experience using AI-assisted development tools (Copilot, Cursor, Claude Code) in daily workflows, with the ability to critically evaluate outputs.

Nice to Have

• Experience in Data Engineering (data pipelines, ETL/ELT processes, data synchronization).
• Experience with cloud platforms (GCP, AWS, or Azure).
• Understanding of high-load systems or large-scale data processing.

Responsibilities

• Take full ownership of the integrations domain across the platform.
• Define and drive integration architecture and technical direction.
• Lead a small team of engineers: code reviews, mentorship, and development.
• Ensure reliability of integrations: monitoring, alerting, error handling, and recovery strategies.
• Drive integration projects end-to-end: from API evaluation to production rollout.
• Improve and stabilize existing integrations and data flows.
• Collaborate with product and business teams to define priorities.
• Bring structure and leadership to a currently evolving area.

What We Offer

• Fully remote with flexible hours (aligned with EU time zones).
• High-impact role with direct influence on core business processes.
• Ownership and autonomy in technical decision-making.
• Fast-paced environment with minimal bureaucracy.
• AI-first engineering culture and modern tooling.
• Opportunity to shape and scale a critical part of the platform.

We are looking for an Integration Team Lead to own the architecture and reliability of our advertising platform integrations while leading a small engineering team and driving the integration roadmap. In this role, you will design and scale data pipelines that process large volumes of advertising data, ensure stable data synchronization across external marketing platforms, and lead new integration initiatives from API evaluation to production rollout. You will play a key role in shaping the platform’s integration strategy, mentoring engineers, and building scalable, AI-enabled integration solutions that power our core data infrastructure.

Requirements
- 5+ years in backend/data engineering, including 2+ years working with advertising/marketing APIs.
- Hands-on experience with Meta Marketing API and/or LinkedIn Marketing API: real work with rate limits, async reports, breakdowns, attribution windows.
- Strong Python skills: production-grade code with error handling, logging, and tests.
- Experience leading a team (2+ people): code reviews, task planning, growing engineers.
- Solid understanding of data pipeline patterns: idempotency, backfill, incremental sync, schema evolution.
- Experience with GCP or comparable cloud (AWS/Azure) at the service design level.

- Actively use AI-assisted development tools (e.g., Copilot, Cursor, Claude Code) in daily engineering workflows for code generation, debugging, documentation, and data pipeline design, applying sound engineering judgment when validating AI-generated outputs.

Nice to Have
- Knowledge of the Programmatic ecosystem: DV360, The Trade Desk, OpenRTB.
- Experience with BigQuery and/or ClickHouse.
- Pulumi / Terraform for IaC.
- Understanding of advertising metrics: impressions, clicks, conversions, ROAS, attribution models.

Responsibilities
- Own the architecture and evolution of all platform integrations: Meta Marketing API, LinkedIn Marketing API, Programmatic channels (DV360, The Trade Desk, etc.).
- Lead a team of 2-4 engineers: code reviews, sprint planning, mentorship.
- Design and maintain data pipelines: Ad Platform APIs to BigQuery/ClickHouse via Cloud Run Jobs and n8n workflows.
- Ensure data sync reliability: monitoring, alerting, error handling, retry strategies.
- Work with API rate limits, OAuth flows, and webhooks across advertising platforms - Drive new integration projects from API evaluation through production rollout. 
- Collaborate with the product team to prioritize the integration roadmap.

What We Offer

- Fully remote with flexible hours (aligned with EU timezones for syncs).
- Influence on the quality assurance strategy across the entire engineering department.
- A cross-team role with visibility into every part of the product.
- AI-first tooling.
- Claude Code licenses and cutting-edge AI development workflows. 
- A team with no bureaucracy, decisions are made fast.

We are seeking a Senior Product Manager to lead our ad network and channel integration strategy. This role is critical to our platform's expansion and optimization, working directly with company leadership to drive product roadmap decisions while managing a specialized technical team responsible for building and maintaining integrations with major advertising platforms.

Key Responsibilities

• Collect and translate business requirements from company ownership into actionable product specifications
• Define and execute product strategy for ad network integrations and channel expansion
• Drive cross-functional collaboration between engineering, data science, and business development teams
• Lead and mentor a specialized integration team of engineers and QA professionals
• Set team priorities, manage sprint planning, and ensure delivery excellence
• Foster a culture of innovation and technical excellence within the integration team

Product Development Priorities

Primary Focus:

• Automate existing channel integrations to enable seamless two-way data synchronization
• Optimize current integrations for improved data accuracy and real-time reporting capabilities
• Streamline integration processes to reduce manual intervention and improve scalability

Secondary Focus:

• Identify and prioritize new high-value advertising channels for integration
• Lead technical evaluation and implementation of new platform partnerships
• Expand market reach through strategic channel additions

Technical Oversight

• Define technical requirements and API specifications for channel integrations
• Create comprehensive product documentation and visual schematics for integration architectures
• Ensure data integrity and compliance standards across all integrated platforms
• Drive automation initiatives to improve operational efficiency and reduce time-to-market for new integrations

Required Qualifications

• 5+ years of product management experience in adtech, programmatic advertising, or related fields
• Deep, hands-on understanding of major advertising networks including:
• Paid social media platforms (Facebook, LinkedIn, Twitter, TikTok, etc.)
• API integrations and data synchronization protocols
• Experience with marketing automation platforms and attribution modeling
• AI-first mentality, strong interest in the emerging technologies, willingness to learn, adapt, and use AI tools to build portotypes, monitoring tools, and otherwise use them to aid both your and the teams' goals.
• Proven track record managing technical teams and complex integration projects
• Strong analytical skills with experience in data-driven product decisions
• Understanding of advertising technology ecosystem and data flow
• Experience with API integrations, webhooks, and real-time data processing
• Familiarity with advertising platform APIs and their capabilities/limitations
• Knowledge of data privacy regulations and compliance requirements
• Excellent stakeholder management and communication skills
• Experience translating business requirements into technical specifications
• Strong project management skills with ability to manage multiple concurrent initiatives
• Collaborative leadership style with proven ability to influence cross-functional teams

Nice to Have:

• Deep understanding of programmatic advertising channels (DSPs, SSPs, ad exchanges)
• Experience in pharmaceutical, healthcare, or highly regulated industry marketing
• Understanding of healthcare professional targeting and compliance considerations
• Familiarity with NPI data and healthcare professional identification systems
• Background in automation technologies and AI agent development/implementation
• Experience building or managing intelligent automation workflows and AI-driven processes

We are looking for a Senior Data Engineer to join the Identity team at Equals5. This is not a standard ETL role. We are building a dynamic data ecosystem where AI is deeply integrated—both as a productivity multiplier and as a core component of our data processing logic for identity data enrichment and data scoring.

You will own the infrastructure that handles over 10,000 executions per minute, ensuring stability, scalability, and data integrity. You will work with a modern stack on Google Cloud Platform, utilizing Cloud Functions and Kubernetes.

We are looking for an engineer who improves infrastructure, automates everything, and is eager to implement LLM-based logic directly into high-load data flows.
 

Responsibilities

• AI-Driven Data Scoring: Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time. You will integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost.
• Own the Data Architecture: Architect scalable data solutions using GCP and Python. You will manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data.
• Heavy Data Processing: Utilize Apache Spark for data transformations and batch processing when lightweight cloud functions are not enough.
• Manage High-Load Orchestration: Maintain and optimize our system instances. It involves complex dataflows, custom Python nodes, and performance tuning for 10k+ execs/minute.
• Release Lifecycle (CI/CD): Take ownership of the deployment process, ensuring that updates to pipelines and infrastructure are released safely with proper testing and rollback strategies.
• Database Optimization: Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies.
• Active AI Usage: Use Claude Code and other AI engineering tools to accelerate your own development, refactoring, and testing processes.
• Incident Resolution: Proactively monitor the system. When alerts fire, you investigate the root cause—whether it’s a database lock or an LLM hallucination—and fix it permanently.
   

Requirements

• 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Production AI Integration: Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API. You understand latency, token limits, and how to structure data for AI scoring.
• Expertise in GCP: Understanding of Google Cloud Platform (Cloud Functions, IAM, Networking).
• Strong Python: You write clean, efficient, and testable code. You are comfortable building custom logic where standard tools fall short.
• Big Data Stack: Experience with BigQuery, Apache Spark, and modern table formats like Apache Iceberg.
• Kubernetes (K8s): Experience deploying and scaling services in containerized environments.
• Workflow Automation: Understanding of workflow orchestration tools at a deep technical level. N8N is a big part of our domain, so familiarity with it is highly valuable.
• PostgreSQL Mastery: Proven ability to handle heavy write/read loads and optimize schemas.
• English: B2+ (Upper-Intermediate) or higher.
   

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If a scoring model drifts or a pipeline slows down, you notice it and fix it without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If an external API fails, you build a fallback mechanism instead of just blaming the provider.
• Get It Done: You prioritize shipping value. You know when to use a simple script and when to build a complex architecture.
• Openness: You share knowledge freely. If you find a better way to prompt the AI for scoring, you share it with the team.
   

What We Offer

• Fully remote with flexible hours (aligned with EU timezones for syncs).
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech for both daily coding and product features.
• High-Impact Role: You will directly influence how we identify and score users, impacting the core business logic.
• Cross-functional visibility: Work closely with Product and Tech Leads to shape the future of Identity.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

Senior Technical Marketing Specialist (Growth / AdTech)

We are looking for a Senior Technical Marketing Specialist to drive our advertising ecosystem, optimize performance channels, and contribute to the evolution of our marketing infrastructure.

This role sits at the intersection of marketing, data, and product, making it ideal for someone with a strong performance background and a technical mindset who wants to influence how marketing systems are built and scaled.
 

You will work closely with company leadership and cross-functional teams to improve channel performance, enhance integrations, and shape the future of our marketing capabilities.

Key Responsibilities

Own and optimize performance marketing across multiple channels (paid social, programmatic, etc.)
Translate business needs into scalable marketing and technical solutions
Collaborate with engineering and data teams to improve tracking, attribution, and integrations
Analyze campaign performance and drive data-informed decisions
Identify growth opportunities across channels and markets
Contribute to the development of internal tools and automation processes
Align marketing efforts with overall product and business strategy

Primary Focus

Optimize and scale paid acquisition channels
Improve data accuracy, attribution, and reporting systems
Drive automation of marketing processes to reduce manual work
Enhance efficiency and scalability of marketing operations

Secondary Focus

Explore and test new advertising channels and tools
Support integration of new platforms from a marketing and performance perspective
Contribute to strategic decisions on channel expansion

Technical & Product Contribution

Work closely with APIs, tracking systems, and marketing tools
Define requirements for marketing-related features and internal tools
Support development of scalable marketing infrastructure
Ensure data integrity and compliance across platforms
Participate in roadmap discussions related to marketing and growth

Required Qualifications

4–6+ years of experience in performance marketing / growth / media buying
Strong hands-on experience with major advertising platforms (Meta, TikTok, LinkedIn, etc.)
Strong analytical mindset and experience with data-driven decision-making
Experience with tracking, attribution models, and marketing analytics
Understanding of marketing funnels and user acquisition strategies
Comfort working with technical teams and discussing integrations
AI-first mindset and willingness to use AI tools for optimization and automation
Strong communication and stakeholder management skills

Nice to Have

Experience with programmatic advertising (DSPs, SSPs, ad exchanges)
Basic understanding of APIs, webhooks, or data pipelines
Experience building or improving internal tools or automation workflows
Exposure to product management or interest in moving toward a product role
Experience in regulated industries (healthcare, pharma, etc.)

Why this role

This role is perfect for marketers who want to go beyond campaign management and influence how marketing systems and products are built.

You will have the opportunity to work on complex adtech challenges, collaborate with technical teams, and grow toward a Product-oriented or Product Manager role 

We are looking for a Senior Media Buyer to take ownership of our advertising channels performance and play a key role in shaping our future product strategy. This position combines hands-on media buying expertise with a strategic mindset, offering a clear growth path toward a Product Manager role.

You will work closely with company leadership, data, and engineering teams to scale advertising performance, optimize channel integrations, and gradually transition into product-driven decision-making.

Key Responsibilities

Own and manage paid media campaigns across multiple advertising platforms
Drive performance optimization through testing, scaling, and data analysis
Collaborate with data, engineering, and product teams to improve campaign efficiency and tracking
Translate business goals into actionable media buying strategies
Identify growth opportunities across new and existing advertising channels
Work closely with leadership to align media strategy with overall business objectives
Mentor junior media buyers and contribute to team knowledge sharing

Growth Scope (Product-Oriented Responsibilities)

Participate in shaping the strategy for advertising channel integrations
Provide insights to improve automation and data synchronization between platforms
Collaborate on defining requirements for internal tools and dashboards
Contribute to roadmap discussions related to marketing and adtech capabilities
Gradually take ownership of product initiatives related to acquisition and performance marketing

Primary Focus

Scale and optimize paid acquisition channels (social, programmatic, etc.)
Improve campaign performance through data-driven decision-making
Enhance tracking, attribution, and reporting accuracy
Reduce manual processes through automation and tooling

Secondary Focus

Explore and test new advertising platforms and traffic sources
Identify high-potential channels for scaling
Support integration of new channels from a business and performance perspective

Technical & Analytical Contribution

Work closely with APIs, tracking systems, and attribution tools
Ensure data accuracy and consistency across platforms
Provide structured feedback for improving internal tools and integrations
Support automation initiatives to increase efficiency and scalability

Required Qualifications

4–6+ years of hands-on experience in media buying / performance marketing
Strong experience with major advertising platforms:

• Paid social (Meta, TikTok, LinkedIn, etc.)
• Programmatic / DSPs (as a plus)

Strong analytical mindset and experience with data-driven optimization
Experience with tracking, attribution models, and performance analytics
Understanding of marketing funnels and user acquisition strategies
Experience working with large budgets and scaling campaigns
AI-first mindset: willingness to use AI tools for optimization, testing, and automation
Strong communication skills and ability to work cross-functionally
Experience mentoring or leading junior team members

Nice to Have

Experience with programmatic ecosystem (DSPs, SSPs, ad exchanges)
Basic understanding of APIs, integrations, or marketing tech infrastructure
Experience collaborating with product or engineering teams
Background in automation or building internal tools
Interest in transitioning into a Product Manager role

Why this role

This is not just a media buying role — it's an opportunity to grow into Product Management, influence platform development, and shape how advertising technology is built and scaled within the company.

We are looking for a Data / Backend Engineer to architect and scale the core data infrastructure behind our healthcare marketing platform. In this role, you will design high-throughput data systems that process millions of behavioral events, power real-time attribution and user scoring, and enable precise targeting of healthcare professionals across 20+ channels.

You will work at the intersection of data engineering, backend systems, and marketing infrastructure, building scalable pipelines, tracking systems, and APIs that support analytics, segmentation, and campaign activation. The role also involves experimenting with AI-powered automation and agent-based workflows to improve internal operations and product capabilities.

This is a high-ownership position where you will shape architecture decisions, build critical platform components from the ground up, and help evolve our data platform as the company scales.

Responsibilities

- Architect and own data-heavy backend systems powering real-time attribution, user modeling, and scoring

- Build and evolve client-side tracking pixels (like FB pixel / Amplitude snippet / Heap autocapture) from scratch

- Set up and manage scalable ETL workflows: cleaning, merging, enriching, splitting, transforming across millions of behavioral events
Lead the build of CDP / CDXP-style data layers to support segmentation, scoring, and activation across channels

- Connect and compose systems using modern low-code / no-code tools (n8n) to accelerate ops

- Implement and maintain high-availability APIs for analytics, scoring, and campaign delivery

- Drive experimentation around AI-powered agents and automation tools that can boost internal workflows

Requirements

- System Design & Data Architecture:
Designs scalable, event-driven data platforms with strong decoupling, fault tolerance, and horizontal scalability. Builds real-time and batch pipelines using lakehouse architectures and streaming systems (Kafka / PubSub).

- Distributed Data Processing (Spark / BigQuery / Iceberg):
Expert in large-scale data processing, query optimization, and cost-efficient analytics. Deep understanding of Spark execution, partitioning, and modern table formats (Iceberg / Delta).

- Cloud & Infrastructure (GCP / Kubernetes):
Builds resilient cloud-native data platforms on GCP and Kubernetes using IaC, autoscaling, and secure access (IAM, Workload Identity).

- Python Engineering:
Develops high-performance Python services for data and ML workloads with focus on concurrency, clean architecture, and production-grade quality.

- Databases & Performance (PostgreSQL / OLTP):
Optimizes high-throughput OLTP systems through indexing, partitioning, and query analysis (EXPLAIN ANALYZE, MVCC).

- Reliability & Observability (SRE):
Implements resilient data systems with idempotency, retries, observability, SLOs, and incident management.

- AI / LLM Integration:
Integrates LLMs into production pipelines with structured outputs, caching, batching, prompt versioning, and evaluation.

- Workflow Orchestration (Airflow / Dagster):
Designs scalable DAG-based workflows with dependency management, retries, and reproducible backfills.

- CI/CD & DevOps for Data:
Implements safe deployments for data systems including schema migrations, canary releases, and data contracts.

- Ownership & Engineering Maturity:
Owns end-to-end production systems and architecture decisions while balancing delivery speed, quality, and technical debt.

Nice-to-have: 

- Experience in MarTech / AdTech platforms (e.g., DSPs, attribution systems, DMP/CDP tools)

- Deep knowledge of data matching/fingerprinting techniques (identity graphs, IP + UA resolution, hashed PII workflows)

- Strong prompt engineering skills — not just ChatGPT 101, but chaining, system prompting, tooling integration

What We Offer
- Fully remote with flexible hours (aligned with EU timezones for syncs).
- Influence on quality strategy across the entire engineering organization.
- A cross-team role with visibility into every part of the product.
- AI-first tooling.
- Claude Code licenses and cutting-edge AI development workflows. 
- A team with no bureaucracy, decisions are made fast.

Equals5 helps pharmaceutical companies run precisely targeted ad campaigns on social platforms by identifying healthcare professionals and the consumer signals that reach them. The Identity team builds the data, scoring, and targeting systems that make this possible.

We are looking for a Data Analyst  to join the Identity team at Equals5. This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place. Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.

Dashboards and visualizations are part of how findings get communicated, but they come at the end — the surface of the work, not its core. Most of your time is spent on what sits underneath: methodology, judgment calls on data quality, and shaping how the domain understands its own numbers.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus 

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

What We Offer

• Fully remote with flexible hours, with working overlap in CET ±2 hours for syncs.
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech — both for daily work and as part of product logic.
• High-Impact Role: You will directly shape how we identify, score, and reach healthcare professionals — the core business of our domain.
• Small team, direct impact: You will work directly with Product and Engineering leads — no layers between you and the people making decisions.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

We are looking for a QA Team Lead who will be responsible for quality assurance across multiple engineering teams and play a key role in building a scalable testing strategy. You will act as the quality owner for the larger development team, ensuring the reliability of the entire product data flow from external API integrations to end-user dashboards.

In this role, you will lead the QA team and work closely with engineering team leads, implementing automation, quality gates, and testing best practices within development workflows. You will have the opportunity to shape the company-wide quality strategy, scale automation efforts, and influence product quality across the entire engineering organization.

Responsibilities
- Lead a QA team of 3–4 engineers, including task assignment, code reviews, mentorship, and supporting professional growth.
- Own end-to-end quality across all engineering teams.

- Build and maintain a cross-team testing strategy covering the full data flow — from API ingestion through data pipelines to the end-user dashboard.
- Design and implement automated test suites, including E2E (Playwright/Cypress), API, integration, and regression tests.
- Establish quality gates in CI/CD pipelines, ensuring no code is released without passing automated checks.
- Coordinate release testing across teams, ensuring that changes in one system do not impact downstream consumers.
- Define and track quality metrics, such as test coverage, defect rates, time-to-detection, and regression frequency.
- Collaborate closely with team leads (Platform, Integrations, etc.) to embed quality practices into development workflows.
- Manage test environments and test data, ensuring realistic and reproducible testing scenarios across all domains.

Requirements
- 5+ years of experience in QA/SDET, including 2+ years in a leadership role managing a QA team.
- Strong experience with test automation, using Playwright, Cypress, or similar E2E frameworks.
- Experience testing APIs (REST), both manual and automated, including contract and integration testing.
- Understanding of data pipeline testing, including validation of data flow from source APIs through transformation layers to analytics systems.
- Ability to work across multiple tech stacks (PHP/Laravel, Vue.js, Python, SQL). You are not required to be a developer, but you should be able to read and understand code.
- Experience with CI/CD integration, embedding automated tests into build pipelines and managing test environments.
- Strong communication and stakeholder management skills — you will coordinate with 3–4 team leads and communicate quality status clearly.

Nice to Have
- Experience with BigQuery and/or ClickHouse data validation.
- Knowledge of advertising/marketing tech domain (Meta API, LinkedIn API). 
- Experience with performance/load testing (k6, Locust, Artillery).
- Familiarity with GCP services (Cloud Run, Cloud SQL, Cloud Scheduler).
- Understanding of healthcare/pharma compliance requirements.
- Experience with visual regression testing.

What We Offer
- Fully remote with flexible hours (aligned with EU timezones for syncs).
- Influence on the quality assurance strategy across the entire engineering department.
- A cross-team role with visibility into every part of the product.
- AI-first tooling.
- Claude Code licenses and cutting-edge AI development workflows. 
- A team with no bureaucracy, decisions are made fast.

We are an iGaming company with over three years of experience and a team of

1500+ specialists.Our portfolio includes 11+ successful products operating across

Tier 1–3 markets. We actively scale new products and markets, building strong

affiliate ecosystems and long-term partnerships.

Currently, we are looking for a Head of Growth who will be responsible for driving

acquisition and scaling marketing performance across different channels.

Responsibilities:

-Own the entire growth engine to drive growth

-Drive performance through social media, influencers, streamers, SEO, community

content marketing, and PPC, to maximise acquisition performance.

-Build and expand marketing networks and strategic partnerships to drive player traffic and scale paid acquisition across crypto-friendly networks

- Utilise data analytics to track, measure, and optimize campaign performance, ensuring that KPIs are met or exceeded.

- Own marketing performance KPIs to maximise ROI

- Data-driven revenue scaling, focus on players LTV, and market expansion

-Explosive User Acquisition

-Scale marketing across all marketing channels

- Primary focus Social channels,Influencers, streamers, ambassadors and paid ads

-Launch influencer/KOL campaignsOptimize CAC vs LTV continuously

-Data driven Growth Own CAC, LTV, ARPU, ROI metrics

-Implement attribution dashboardsRun aggressive A/B testing cycles

-Optimize funnels daily

Requirements:

-Proven 3+ years experience in performance marketing with a Crypto gambling

-Deep understanding of Web3 culture & crypto ecosystems

-Strong analytical skills with experience using data to inform strategy and improve marketing ROI.

-Lead growth strategy across all marketing channels, paid channels, crypto communities, streamers and influencer marketing.

-Data-driven mindset with a focus on commercial KPIs

-We are looking for professionals who can think outside the box and experiment with new marketing strategies and innovate to drive growth.

-Having experience in CSGO sites and casino is a plus

Why you should consider this opportunity:

-Remote-first format: Mon–Fri, 10:00–19:00 (UTC+2) — skip the commute.

-Paid vacation & sick leave, plus an extra day off for your birthday.

-Competitive compensation that fairly reflects your expertise and impact.

-Engaging corporate events to learn, share experience, and grow with like-minded professionals.No micromanagement: we trust our team, encourage initiative, and keep a flat

hierarchy for fast decisions.

-Ongoing professional development: continuous support to build new skills and advance your career

-Dynamic work environment: a profitable, forward-thinking company where every

specialist plays a key role.

📍 Location: EU-based
💼 Cooperation type: Full-time
🧭 Work format: Remote

We’re looking for a skilled PHP Developer who’s passionate about building reliable backend systems and enjoys working on high-load, scalable architectures to help drive our product’s performance and stability.
Our day-to-day backend stack includes:
PHP, Symfony, MySQL, PostgreSQL, Redis, RabbitMQ, REST APIs, PHPUnit.

Stape is a global product-driven IT company and the #1 leader in the server-side tracking market. We’re building a powerful, technically complex product that simplifies server-side tracking for marketers and website owners. Our platform processes over 15 billion requests daily, helping improve tracking accuracy and data privacy for more than 200, 000 clients worldwide. We work closely with top partners, including Meta, Tiktok and Snapchat, to provide advanced tracking capabilities. 

We actively participate in industry-specific conferences as sponsors of events like MeasureCamp and Superweek.

Key tasks:

• Develop new user-facing features.
• Write functional tests.
• Optimize the application for maximum speed and scalability.

Your background:

• 4+ years of active experience with PHP, with a strong understanding of the latest versions.
• Strong knowledge and practical experience with Symfony Framework (3+ years).
• Experience with API-based systems (REST, RPC).
• Significant experience with high-load databases.
• Experience with SQS/RabbitMQ or similar technologies.
• Experience with Redis/Memcache or similar technologies.
• Experience writing unit and functional tests.
• Experience with Docker configuration.

We offer:

• Industry Leader: Make a meaningful contribution to a globally recognized solution that shapes the future of the server-side tracking market.
• Flexibility: Enjoy a flexible work schedule with the freedom to choose where you work.
• Extended remote workspace setup: Experience the benefits of a fully equipped remote workspace, designed to elevate your productivity and create a comfortable work atmosphere.
• Collaborative culture: Engage in a friendly and open team environment that encourages initiative, creativity, and collaboration.
• Educational support: Invest in your self-development through a dedicated training and professional growth budget.
• Well-Being: Take advantage of 30 days of paid time off (20 standard days + 10 more to cover public holidays), Parental Leave, Anniversary days off, and Study Leave to support your recharge and maintain a balance between work and personal life.
• Health support: Feel secure with full coverage for Sick Leave and a dedicated medical insurance budget that prioritizes your health.

Excited to join us? Submit your CV and let’s get started!

Locations: Europe, Ukraine

The ideal candidate brings strong experience in enterprise integration initiatives, with a primary focus on MuleSoft-based solutions and API-driven architectures. The background should include participation in platform modernization programs, development and support of complex integration ecosystems, and continuous improvement of enterprise integration landscapes.

Key Role In Integration Programs:

Serves as an integration specialist contributing across multiple phases of integration initiatives, from early discovery and design discussions to implementation, stabilization, and ongoing support.

Regularly collaborates with business analysts, architects, and operations teams to clarify integration requirements, identify risks early, and ensure solutions remain maintainable over time.

Known for taking ownership of integration components and following them through their full lifecycle.

Core Competencies And Expertise:

MuleSoft & API Engineering:

Hands-on experience with MuleSoft Anypoint Platform across a variety of integration use cases

Practical application of API-led architecture to support loosely coupled systems and incremental platform evolution

Development and consumption of RESTful and SOAP-based services

Confident work with JSON and XML payloads, including transformation and validation using DataWeave

Experience enhancing existing integrations through refactoring, improved error handling, and performance tuning

Data, Migration & Backend Systems

Involvement in data migration and data synchronization initiatives as part of broader system transformations

Working knowledge of SQL and relational databases, used for validation, reconciliation, and issue analysis

Experience navigating complex data models and resolving cross-system data inconsistencies

Exposure to integrations involving CRM, ERP, and operational platforms

Collaboration, Communication & Ownership

Regular interaction with business and technology stakeholders to clarify requirements and align expectations

Ability to explain integration concepts in a clear and structured manner to mixed audiences

Strong documentation habits, including integration overviews, API descriptions, and operational notes

Demonstrates a strong sense of responsibility for delivered solutions, particularly during critical releases

Able to remain focused and pragmatic when addressing production issues or time-sensitive requests

Delivery & Ways Of Working:

Comfortable working both independently and as part of distributed Agile teams

Experience adapting to changing priorities while maintaining delivery commitments

Contributes to shared team goals by supporting peers and proactively addressing integration risks
 

Key Achievements:

Contributed to multiple enterprise integration initiatives supporting evolving business processes

Played an active role in stabilizing and improving legacy integrations

Supported data migration and system alignment efforts during platform transitions

Recognized for reliability, ownership, and collaborative approach within integration teams

Technical Environment:

MuleSoft Anypoint Platform, REST, SOAP, API-led Architecture, DataWeave, XML, JSON, SQL, Relational Databases, CloudHub, API Manager, Git, CI/CD tools, Jira, Confluence

Certifications

Salesforce Certified MuleSoft Developer

Dell Boomi Professional API Design (nice to have)

Education:

Bachelor of Science in Systems Engineering

Summary:

Senior MuleSoft Integration Specialist with a broad background in enterprise integration work and API-driven solution delivery. Combines solid MuleSoft expertise with strong collaboration skills and a high level of ownership. Experienced in supporting integration solutions over time, adapting to evolving business needs, and contributing to stable, well-documented integration landscapes.

Project start: As soon as possible / by mutual agreement
Duration: 6+ months (extension possible)
Workload: 100%
Location: Primarily remote, with 9 onsite days per year in Frankfurt am Main for planning sessions

Responsibilities
 

Data Analysis & Feature Engineering
- Perform complex ad-hoc data analyses to identify relevant factors influencing forecasting models
- Prepare, explore, and transform large datasets using Python (e.g., pandas, polars) and SQL
- Develop robust features to improve model accuracy and quality
 

Forecasting & Machine Learning Model Development
- Design, implement, and train statistical, machine learning, and time-series models
- Work with methods such as regression models and neural networks
- Select appropriate modeling approaches based on business requirements, data structure, interpretability, and scalability
 

Model Validation & Quality Measurement
- Define, calculate, and interpret key model evaluation metrics
- Conduct cross-validation, backtesting, and stability analyses to ensure reliable and generalizable forecasts
 

Model Comparison & Performance Monitoring
- Compare different modeling approaches using standardized evaluation frameworks
- Monitor model performance over time, including data drift and model drift detection
- Analyze deviations between forecasts and actual outcomes
 

Operationalization & Integration
- Support integration of forecasting models into production data pipelines on AWS
- Collaborate with Data Engineers and BI Developers to deliver model outputs for reporting, planning, and decision-making
 

Data Quality & Model Robustness
- Ensure high data quality through plausibility checks, outlier detection, and missing-data handling strategies
- Assess model sensitivity to data changes and assumptions
 

Documentation & Communication
- Maintain clear documentation of model assumptions, training processes, and validation results
- Communicate forecast quality, uncertainties, and limitations to business stakeholders and management
 

Continuous Improvement
- Continuously enhance existing models based on new data, stakeholder feedback, and changing business requirements
- Stay updated on best practices and new methods in forecasting and model evaluation
 

Governance, Security & Compliance
- Implement IT security policies, regulatory requirements, and internal programming standards
- Ensure data privacy, security, and compliance in all data processing activities

Required Qualifications
Mandatory Requirements
- 5+ years of practical experience in designing, implementing, and validating forecasting, machine learning, and time-series models in production environments
- 5+ years of hands-on Python experience, especially with pandas or polars for data analysis, feature engineering, and model development
- 2+ years of SQL experience for data querying and preparation
- 3+ years of experience in model validation and quality measurement, including evaluation metrics, cross-validation, and stability analysis

Nice-to-Have Qualifications
- Experience with forecasting, machine learning, or time-series models based on graph databases (minimum 2 projects)
- Experience integrating forecasting models into production AWS data pipelines (minimum 1 project)
- Experience analyzing and processing data from railway control and signaling systems (minimum 1 project)

For our partners, we are currently looking for an experienced HR Director to join a fast-growing international company in the fintech industry.
 

📍 Location: Barcelona| Spain (office-based format)
🕒 Employment type: Full-time
🌍 English level: Upper-Intermediate / Advanced — mandatory
 

Key expectations:

• Building and scaling HR processes within a dynamic fintech environment
• Developing and implementing HR strategy aligned with business goals
• Managing recruitment, onboarding, performance management, and employee engagement processes
• Supporting leadership and department heads in people-related decisions
• Building strong corporate culture and internal communications
• Experience working in fast-paced international environments will be a strong advantage
   

Requirements:

• Proven experience in a senior HR leadership role (HRD / Head of HR / People Partner Lead)
• Experience in fintech, IT, crypto, payments, or related tech-driven industries
• Strong understanding of modern HR practices and people management
• Excellent communication and leadership skills
• High level of ownership and strategic thinking
• Fluent English is required for daily communication with international teams and partners
   

We are looking for someone proactive, business-oriented, and capable of building effective HR infrastructure in a scaling international company.

We are looking for a Head of Growth who will be responsible for driving

acquisition and scaling marketing performance across different channels.

Responsibilities:

Own the entire growth engine to drive growth

Drive performance through social media, influencers, streamers, SEO, community

content marketing, and PPC, to maximise acquisition performance.

Build and expand marketing networks and strategic partnerships to drive player

traffic and scale paid acquisition across crypto-friendly networks

Utilise data analytics to track, measure, and optimize campaign performance,

ensuring that KPIs are met or exceeded.

Own marketing performance KPIs to maximise ROI

Data-driven revenue scaling, focus on players LTV, and market expansion

Explosive User Acquisition

Scale marketing across all marketing channels

Primary focus Social channels,Influencers, streamers, ambassadors and paid ads

Launch influencer/KOL campaignsOptimize CAC vs LTV continuously

Data driven Growth Own CAC, LTV, ARPU, ROI metrics

Implement attribution dashboardsRun aggressive A/B testing cycles

Optimize funnels daily

Requirements:

Proven 3+ years experience in performance marketing with a Crypto gambling

Deep understanding of Web3 culture & crypto ecosystems

Strong analytical skills with experience using data to inform strategy and improve

marketing ROI.

Lead growth strategy across all marketing channels, paid channels, crypto

communities, streamers and influencer marketing.

Data-driven mindset with a focus on commercial KPIs

We are looking for professionals who can think outside the box and experiment with

new marketing strategies and innovate to drive growth.

Having experience in CSGO sites and casino is a plus

Why you should consider this opportunity

Remote-first format: Mon–Fri, 10:00–19:00 (UTC+2) — skip the commute.

Paid vacation & sick leave, plus an extra day off for your birthday.

Competitive compensation that fairly reflects your expertise and impact.

Engaging corporate events to learn, share experience, and grow with like-minded

professionals. No micromanagement: we trust our team, encourage initiative, and keep a flat

hierarchy for fast decisions.

Ongoing professional development: continuous support to build new skills and

advance your career.

Dynamic work environment: a profitable, forward-thinking company where every

specialist plays a key role.